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\begin{abstract}
In this report we document our work with methods for solving learning tasks in the game Super Mario Brothers.
We seek to create and compare two different Mario AI agents. One using NeuroEvolution of Augmenting Topologies (NEAT) and one using Accuracy-Based Classifier Systems (XCS).
\end{abstract}